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Patterns (New York, N.Y.)|June 9, 2025
FoodSky: A food-oriented large language model that can pass the chef and dietetic examinationsPengfei Zhou, Weiqing Min, Chaoran Fu, et al.Patterns (New York, N.Y.)|June 9, 2025
Designing a large language model for chemistsXiaoyi Chen, Haixu TangPatterns (New York, N.Y.)|August 22, 2025
Lessons from complex systems science for AI governanceNoam Kolt, Michal Shur-Ofry, Reuven CohenPatterns (New York, N.Y.)|August 22, 2025
GastritisMIL: An interpretable deep learning model for the comprehensive histological assessment of chronic gastritisKun Xia, Yihuang Hu, Shuntian Cai, et al.Patterns (New York, N.Y.)|January 26, 2026
Recalibrating academic expertise in the age of generative AIZhicheng Lin, Aamir SohailPatterns (New York, N.Y.)|January 26, 2026
The carbon and water footprints of data centers and what this could mean for artificial intelligenceAlex de Vries-GaoPatterns (New York, N.Y.)|January 26, 2026
IoT-LLM: A framework for enhancing large language model reasoning from real-world sensor dataTuo An, Yunjiao Zhou, Han Zou, et al.Patterns (New York, N.Y.)|January 26, 2023
Detrimental network effects in privacy: A graph-theoretic model for node-based intrusionsFlorimond Houssiau, Piotr Sapieżyński, Laura Radaelli, et al.Patterns (New York, N.Y.)|January 26, 2023
Data science's communication problem in three filmsSteve CranfordPatterns (New York, N.Y.)|January 26, 2023
Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogueTravis Greene, Amit Dhurandhar, Galit ShmueliPageof 91